| import streamlit as st | |
| import google.generativeai as genai | |
| # Configure Google GenAI | |
| api_key = 'AIzaSyA7jXPscK6XqztKHkZB-QDE_OjpEzZQDCU' | |
| genai.configure(api_key=api_key) | |
| # Initialize GenerativeModel | |
| model = genai.GenerativeModel('gemini-pro') | |
| # Streamlit app | |
| st.title("Hugging Face Space with Streamlit") | |
| # Input text box for user query | |
| user_query = st.text_input("Enter your query:") | |
| if st.button("Generate"): | |
| # Generate content using the model | |
| response = model.generate_content(user_query) | |
| # Display the generated content using Markdown | |
| st.markdown(response.text) | |
| # Run the app | |
| if __name__ == "__main__": | |
| st.set_page_config(page_title="Hugging Face Space", page_icon=":rocket:") | |
| st.run_app() | |